Gong J - Search Results

1

A combined radiomics and clinical variables model for prediction of malignancy in T2 hyperintense uterine mesenchymal tumors on MRI.

Wang T, Gong J, Li Q, Chu C, Shen W, Peng W, Gu Y, Li W. Wang T, et al. Among authors: gong j. Eur Radiol. 2021 Aug;31(8):6125-6135. doi: 10.1007/s00330-020-07678-9. Epub 2021 Jan 23. Eur Radiol. 2021. PMID: 33486606

2

Computer-aided diagnosis of ground-glass opacity pulmonary nodules using radiomic features analysis.

Gong J, Liu J, Hao W, Nie S, Wang S, Peng W. Gong J, et al. Phys Med Biol. 2019 Jul 5;64(13):135015. doi: 10.1088/1361-6560/ab2757. Phys Med Biol. 2019. PMID: 31167172

3

A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images.

Gong J, Liu J, Hao W, Nie S, Zheng B, Wang S, Peng W. Gong J, et al. Eur Radiol. 2020 Apr;30(4):1847-1855. doi: 10.1007/s00330-019-06533-w. Epub 2019 Dec 6. Eur Radiol. 2020. PMID: 31811427

4

Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan.

Xia X, Gong J, Hao W, Yang T, Lin Y, Wang S, Peng W. Xia X, et al. Among authors: gong j. Front Oncol. 2020 Mar 31;10:418. doi: 10.3389/fonc.2020.00418. eCollection 2020. Front Oncol. 2020. PMID: 32296645 Free PMC article.

5

Multiparametric MRI-based radiomics signature for preoperative estimation of tumor-stroma ratio in rectal cancer.

Cai C, Hu T, Gong J, Huang D, Liu F, Fu C, Tong T. Cai C, et al. Among authors: gong j. Eur Radiol. 2021 May;31(5):3326-3335. doi: 10.1007/s00330-020-07403-6. Epub 2020 Nov 12. Eur Radiol. 2021. PMID: 33180166

6

Application of MRI Radiomics-Based Machine Learning Model to Improve Contralateral BI-RADS 4 Lesion Assessment.

Hao W, Gong J, Wang S, Zhu H, Zhao B, Peng W. Hao W, et al. Among authors: gong j. Front Oncol. 2020 Oct 29;10:531476. doi: 10.3389/fonc.2020.531476. eCollection 2020. Front Oncol. 2020. PMID: 33194589 Free PMC article.

7

CT-based radiomics nomogram for preoperative prediction of No.10 lymph nodes metastasis in advanced proximal gastric cancer.

Wang L, Gong J, Huang X, Lin G, Zheng B, Chen J, Xie J, Lin R, Duan Q, Lin W. Wang L, et al. Among authors: gong j. Eur J Surg Oncol. 2021 Jun;47(6):1458-1465. doi: 10.1016/j.ejso.2020.11.132. Epub 2020 Nov 24. Eur J Surg Oncol. 2021. PMID: 33261951

8

Computer-aided diagnosis of ground glass pulmonary nodule by fusing deep learning and radiomics features.

Hu X, Gong J, Zhou W, Li H, Wang S, Wei M, Peng W, Gu Y. Hu X, et al. Among authors: gong j. Phys Med Biol. 2021 Mar 4;66(6):065015. doi: 10.1088/1361-6560/abe735. Phys Med Biol. 2021. PMID: 33596552

9

Deep Learning-Based Stage-Wise Risk Stratification for Early Lung Adenocarcinoma in CT Images: A Multi-Center Study.

Gong J, Liu J, Li H, Zhu H, Wang T, Hu T, Li M, Xia X, Hu X, Peng W, Wang S, Tong T, Gu Y. Gong J, et al. Cancers (Basel). 2021 Jun 30;13(13):3300. doi: 10.3390/cancers13133300. Cancers (Basel). 2021. PMID: 34209366 Free PMC article.

10

Development of MRI-Based Radiomics Model to Predict the Risk of Recurrence in Patients With Advanced High-Grade Serous Ovarian Carcinoma.

Li HM, Gong J, Li RM, Xiao ZB, Qiang JW, Peng WJ, Gu YJ. Li HM, et al. Among authors: gong j. AJR Am J Roentgenol. 2021 Sep;217(3):664-675. doi: 10.2214/AJR.20.23195. Epub 2021 Jul 14. AJR Am J Roentgenol. 2021. PMID: 34259544

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